Research on Multidimensional Power Big Data Clustering Algorithm Based on Graph Mode

• Published in: Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 29; no. 2; pp. 358 - 364
• Main Authors: Han, Xue, Zhang, Yue, Gao, Sheng
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Ltd 20.03.2025; 富士技術出版株式会社; Fuji Technology Press Co. Ltd
• Subjects: Accuracy; Algorithms; Big Data; Clustering; clustering algorithm; Datasets; Delay time; Eigenvalues; Eigenvectors; Electric power; Electricity distribution; Energy consumption; fisher discriminant; graph model; multidimension; Parallel processing; power big data; Principal components analysis; Redundancy

Power system data possess many characteristics and indicators, having certain high dimensions and redundant information, which can easily increase the calculation and storage overhead. To reduce the dimension of power data, eliminate redundant information, and reduce the delay time, a data clusterin...